This study describes a simple and rapid approach of monitoring ibuprofen (IBP). Unfolded principal component analysis-artificial neural network (UPCA-ANN) and excitation-emission spectra resulted from spectrofluorimetry method were combined to develop new model in the determination of IBF in human serum samples. Fluorescence landscapes with excitation wavelengths from 235 to 265 nm and emission...

Time-course gene expression profiles associated with periodic biological processes should appear periodic. However, because of inherit problems with the experimental protocols measured gene expression data are actually pseudo-periodic, not exactly periodic. Therefore, identifying pseudo-periodically expressed gene from their time-course data could help understand the molecular mechanism of peri...

Alcoholism, which is defined as the recurring harmful use of alcohol despite its negative consequences, has a lifetime prevalence of 17.8%. Previous studies have shown that chronic alcohol consumption disrupts various brain functions and behaviours. However, the precise mechanisms that underlie alcoholism are currently unclear. Recently, we discovered "pseudo-immature" brain cell states of the ...

A comparison was made of the linear least-squares method and a trial-and-error non-linear method of the widely used pseudo-second-order kinetic model for the sorption of cadmium onto ground-up tree fern. Four pseudo-second-order kinetic linear equations are discussed. Kinetic parameters obtained from the four kinetic linear equations using the linear method differed but they were the same when ...

Pseudo-absence selection for spatial distribution models (SDMs) is the subject of ongoing investigation. Numerous techniques continue to be developed, and reports of their effectiveness vary. Because the quality of presence and absence data is key for acceptable accuracy of correlative SDM predictions, determining an appropriate method to characterise pseudo-absences for SDM's is vital. The mai...

We consider lithological tomography in which the posterior distribution of (hydro)geological parameters interest is inferred from geophysical data by treating intermediate properties as latent variables. In such a variable model, one needs to estimate intractable likelihood given data. The pseudo-marginal method an adaptation Metropolis-Hastings algorithm unbiased approximation this obtained Mo...